Showing 1 - 16 results of 16 for search '"emoji"', query time: 0.04s Refine Results
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    Pembentukan Daftar Stopword Goffman Transition Point dengan Pembobotan Emoji pada Analisis Sentimen di Twitter by Rizky Maulana Iqbal, Yuita Arum Sari, Edy Santoso

    Published 2022-10-01
    “…Using a stopword Tala with the same parameters produces an accuracy of 73% with emoji-weighted and 71.9% without emoji-weighted. …”
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    Leveraging Advanced NLP Techniques and Data Augmentation to Enhance Online Misogyny Detection by Alaa Mohasseb, Eslam Amer, Fatima Chiroma, Alessia Tranchese

    Published 2025-01-01
    “…Key contributions include emoji decoding to interpret symbolic communication, contextual expansion using Sentence-Transformer models, and LDA-based topic modeling to enhance data richness and contextual understanding. …”
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    Automatic detection of fake reviews at marketplaces using expert-based features and consumers’ reactions by A. N. Borodulina, E. V. Mikhalkova

    Published 2024-10-01
    “…The paper presents the results of automatic classification of reviews from Russian marketplaces into potentially fake and honest ones using modelling of features that experts call labels of a fake review (presence of template words, exclamation marks, emoji, positive sentiment), and machine learning algorithms. …”
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    Communicative practices of young people in social networks by S. A. Grishaeva, K. V. Klyuvaev

    Published 2020-02-01
    “…Instruments of transferring social information on social media: emoji and stickers, photos and pictures (memes included), together with preferences of usage of this instrument by users have been analyzed. …”
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    Let the Customers Speak Their Hearts Out: The Role of Verbosity and Emotions in Online Viewer-to-Viewer Engagement by Fahad Mansoor Pasha, Fatima Habib, Komal Kamran, Akbar Azam, Zeeshan Ali, Dildar Hussain

    Published 2025-01-01
    “…This study examines the combined impact of emotions, emojis, and verbosity on online viewer-to-viewer engagement, focusing on their interaction in shaping engagement behaviors. …”
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    Sentiment analysis of Algerian Arabic dialect on social media Using Bi-LSTM recurrent neural networks by Abdelghani BOUZIANE, Benamar BOUOUGADA, Djelloul BOUCHIHA, Noureddine DOUMI

    Published 2024-10-01
    “…The method leverages word-to-vector embedding for word representation and incorporates natural language understanding of emojis to improve semantic interpretation. The model achieves a high accuracy of 94%, demonstrating its effectiveness in analyzing sentiments in online discussions. …”
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    Der Nachhaltigkeitsdiskurs in der Lebensmittelwerbung by Nika Bernardič, Janja Polajnar

    Published 2024-12-01
    “…Es wird gezeigt, dass in der Lebensmittelwerbung Nachhaltigkeit und nachhaltig zum einen explizit sprachlich zum Thema gemacht werden, und zum anderen mit verschiedenen Leitthemen wie etwa Ökologie, Verpackung, Lokalität und gesellschaftliches Bewusstsein unter Einsatz von einer Vielfalt an sprachlichen und nichtsprachlichen Mitteln (u.a. Emojis) eng verzahnt thematisiert werden. …”
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    Emojilogía: propuesta metodológica para la transformación escolar desde y con el estudiantado by Cristopher Yáñez-Urbina, Ignacio Figueroa, Esteban Fica

    Published 2022-01-01
    “…Luego, se profundiza sobre el procedimiento que involucra la propuesta, dando cuenta de la preparación grupal para iniciar el trabajo, la co-construcción de consignas de exploración, la producción de narrativas desde el uso de emojis y la consolidación de espacios de diálogo con el resto de la comunidad educativa. …”
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    A Social Media Dataset and H-GNN-Based Contrastive Learning Scheme for Multimodal Sentiment Analysis by Jiao Peng, Yue He, Yongjuan Chang, Yanyan Lu, Pengfei Zhang, Zhonghong Ou, Qingzhi Yu

    Published 2025-01-01
    “…In this paper, we constructed a new dataset, SM-MSD, for sentiment analysis in social media (SAS) that differs significantly from conventional corpora, comprising 10K instances of diverse data from Twitter, encompassing text, emoticons, emojis, and text embedded in images. This dataset aims to reflect authentic social scenarios and various emotional expressions, and provides a meaningful and challenging evaluation benchmark for multimodal sentiment analysis in specific contexts. …”
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    Der chinesische Messenger WeChat: Praktiken der Automatisierung by Szurawitzki Michael

    Published 2025-01-01
    “…Darüber hinaus wird der Bereich von automatisierten Effekten bei der Eingabe von Emojis berührt. Alle betrachteten Praktiken werden vor dem Hintergrund einschlägiger Forschung reflektiert. …”
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    Unlocking Potential Score Insights of Sentimental Analysis with a Deep Learning Revolutionizes by Ibrahim R. Alzahrani

    Published 2025-02-01
    “…The proposed model incorporates various text preprocessing techniques, such as removing extraneous elements like URLs, emojis, and blank spaces. Following preprocessing, tokenization is applied to break down the text into smaller components or tokens. …”
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